Skill Set Requirements:

• 
  Leadership experience in the development and implementation
  of application architectures at the specified experience level.
• 
  Facilitation skills to engage multiple stakeholders
  involving I&IT solutions, security, privacy, and accessibility
  considerations
• 
  Solid experience and knowledge of Information Architecture,
  Data Modelling, BI Analytics
• 
  Experience in the use of Computer Aided Software Engineering
  (Case) tools (i.e. PowerDesigner, Visio) and other software tools
• 
  Experience in using AI for data analysis which blends
  traditional strengths with new AI-centric abilities:
• 
  Prompt Engineering: Communicating effectively with AI tools
  to get desired analysis and insights.
• 
  Machine Learning Literacy: Understanding how ML models work
  (prediction, pattern recognition) and when to apply them.
• 
  Automation Mastery: Using AI to automate data collection,
  cleaning (ETL), and workflow building.
• 
  Generative AI for Analytics: Using AI to speed up tasks like
  summarization or initial data exploration.
• 
  Designed and implemented scalable data pipelines leveraging
  hands-on expertise in Databricks.
• 
  Solid experience and knowledge of cloud native technology
  and architecture to support applications with high sensitive data such as Azure
  App Services and RESTful API
• 
  Extensive experience with microservice architecture using
  containers – specifically with Tanzu (formerly Pivotal Cloud Foundry)
• 
  Extensive experience with at least three different platforms
  (e.g. Midtier, Mobile), operating systems (e.g. Solaris, Windows),
  environments, database technologies (e.g. MS SQL), programming languages (e.g.
  Java, C#, JavaScript), and communications protocols (ftp, http, smtp, ntp,
  tcp/ip, udp, icmp)
• 
  Knowledge of and experience with MLITSD application patterns
  and infrastructure
• 
  Experience in structured methodologies for the design,
  development and implementation of applications
• 
  Extensive experience in systems analysis and design in large
  systems environments
• 
  Awareness of emerging technologies, trends and direction
• 
  Excellent analytical, problem-solving and decision-making
  skills; verbal and written communication skills; interpersonal and negotiation
  skill
• 
  Experience in OPS Governance processes, Target State
  Architecture (TSA) and different architecture domains deliverables

Requirements

Experience and Skill Set Requirements

Information Architecture - 40%

• 
  5+ years of experience in the development and implementation
  of applications and databases
• 
  Demonstrated experience in providing information
  architecture interpretation advice and expertise to other project and/or
  enterprise level I&IT project teams.
• 
  Engineered scalable data pipelines utilizing hands-on
  Databricks expertise.
• 
  Demonstrated experience in delivering architectural
  artefacts as required by the project to successfully pass through the project
  review governance points.
• 
  Demonstrates previous leadership in complex application
  architecture reviews and assessments, development and/or support projects for
  enterprise initiatives.
• 
  Experience in the use of Computer Aided Software Engineering
  (Case) tools (i.e. PowerDesigner, Visio) and other software tools
• 
  Experience in using AI for data analysis which blends
  traditional strengths with new AI-centric abilities:
• 
  Prompt Engineering: Communicating effectively with AI tools
  to get desired analysis and insights.
• 
  Machine Learning Literacy: Understanding how ML models work
  (prediction, pattern recognition) and when to apply them.
• 
  Automation Mastery: Using AI to automate data collection,
  cleaning (ETL), and workflow building.
• 
  Generative AI for Analytics: Using AI to speed up tasks like
  summarization or initial data exploration.

Technical Skills - 25%

• 
  Experience
  in Modular and composable application architecture
• 
  Experience
  in Omni-channel delivery of government services
• 
  Solid
  experience in cloud design and solution including infrastructure design
  with cloud subscription.
• 
  Solid
  experience in cloud native architecture including microservice
  architecture, RESTful API, API management.
• 
  Experience
  in Data ingestion informed by consumption requirements
• 
  Experience
  in Implementation and adoption of data mesh for storage
• 
  Experience
  in systems analysis and design in a large, integrated systems environments
• 
  Experience
  in the use of architecture design tools and cloud management tools such as
  Power Designer, DevOps, and Collaboration tools.

Public Sector Experience - 20%

• 
  Experience
  with Public Sector enterprise architecture governance, committees and
  processes
• 
  Experience
  with Target State Architecture (TSA)
• 
  Experience
  with Public Sector GO-ITS standards.
• 
  Experience
  with Standards architecture deliverables and artefacts

Soft Skills - 15%

• 
  Excellent
  analytical, problem-solving and decision-making skills; verbal and written
  communication skills; interpersonal and negotiation skills
• 
  Excellent
  facilitation skills and process mapping skills
• 
  Excellent
  presentation skills
• 
  Excellent
  documentation skills

MUST HAVES:

• 
  5+
  years of experience in the development and implementation of applications
  and databases
• 
  Engineered
  scalable data pipelines utilizing hands-on Databricks expertise.
• 
  Experience
  in using AI for data analysis which blends traditional strengths with new
  AI-centric abilities